Eric Schadt
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Genetics 4
- Genetic Associations and Epidemiology 2
- Co-authors
- Rithun Mukherjee (1 shared paper)Michael Scott Brown (1 shared paper)Frederic D. Bushman (1 shared paper)Susana Wang (1 shared paper)Scott A. Sherrill-Mix (1 shared paper)Karen E. Ocwieja (1 shared paper)Darren R. Link (1 shared paper)Kevin J. Travers (1 shared paper)
- Journals
- Alzheimer s & Dementia (2 papers)Blood (2 papers)Annals of Emergency Medicine (1 paper)Stem Cell Reports (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Eric Schadt
13 papers receiving 596 citations
Eric Schadt's Hit Papers
Peers
Comparison fields: 5 of 83
- Virology 76
- Infectious Diseases 138
- Neurology 90
- Cellular and Molecular Neuroscience 83
- Molecular Biology 255
Countries citing papers authored by Eric Schadt
This map shows the geographic impact of Eric Schadt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric Schadt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Schadt more than expected).
Fields of papers citing papers by Eric Schadt
This network shows the impact of papers produced by Eric Schadt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric Schadt. The network helps show where Eric Schadt may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Schadt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Whole-genome sequencing reveals host factors underlying critical COVID-19 Hit paper breakdown → | 2022 | 228 |
| 2 | 2014 | 186 | |
| 3 | 2012 | 111 | |
| 4 | 2012 | 24 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 16 | |
| 7 | 2015 | 13 | |
| 8 | 2012 | 3 | |
| 9 | 2025 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 1 | |
| 14 | 2015 | 0 |
About Eric Schadt
Eric Schadt is a scholar working on Genetics, Physiology, Molecular Biology, Health Informatics and Biological Psychiatry, having authored 14 papers that have together received 608 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers), Tryptophan and brain disorders (1 paper), COVID-19 Clinical Research Studies (1 paper), CRISPR and Genetic Engineering (1 paper), Pluripotent Stem Cells Research (1 paper), CAR-T cell therapy research (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Virology (76 citations), Infectious Diseases (138 citations), Neurology (90 citations), Cellular and Molecular Neuroscience (83 citations) and Molecular Biology (255 citations). Eric Schadt has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Rithun Mukherjee, Michael Scott Brown, Frederic D. Bushman, Susana Wang, Scott A. Sherrill-Mix, Karen E. Ocwieja, Darren R. Link, Kevin J. Travers, Jeff Olson and Hillel T. Schwartz. Their work appears in journals such as Alzheimer s & Dementia, Blood, Annals of Emergency Medicine, Stem Cell Reports and Nature Biotechnology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.